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Applied mathematics / Automatic identification and data capture / Computer accessibility / Speech recognition / Science / Graph / Perceptron / Conditional random field / Hidden Markov model / Computational linguistics / Mathematics / Neural networks


DISCRIMINATIVE TRAINING OF DECODING GRAPHS FOR LARGE VOCABULARY CONTINUOUS SPEECH RECOGNITION Hong-Kwang Jeff Kuo, Brian Kingsbury Geoffrey Zweig
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Document Date: 2006-09-29 19:52:14

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City

Geneva / Orlando / Barcelona / Lisbon / /

Company

IBM / AT&T / Microsoft / /

Country

Switzerland / Portugal / Korea / Spain / /

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Facility

Carnegie Mellon University / /

IndustryTerm

perceptron algorithm / discriminative algorithm / pre-compiled search space / low-resource applications / online mode / search space / back-propagation networks / real-time closed captioning / /

Organization

Defense Advanced Research Projects Agency / Brian Kingsbury Geoffrey Zweig IBM T.J. Watson Research Center / Carnegie Mellon University / /

Person

Chin-Hui Lee / Scott E. Fahlman / Sung Lin / Attila / Eric Fosler-Lussier / Jonathan Le Roux / Biing-Hwang Juang / Mitch Weintraub / Hong-Kwang Jeff Kuo / Hui Jiang / Mark Johnson / Brian Roark / Mehryar Mohri / Murat Saraclar / Fernando Pereira / Stanley F. Chen / Pronunciation / Wu Chou / Alain Biem / Eric McDermott / Michael Riley / Mohamed Afify / Shigeru Katagiri / Andreas Stolcke / Hagen Soltau / Fernando C. Pereira / Brian Kingsbury Geoffrey Zweig / /

Position

model / Low-resource speech recognition / Language model / /

ProvinceOrState

Florida / /

RadioStation

RT-03 / /

Technology

SPEECH RECOGNITION / Neural Network / perceptron algorithm / /

URL

http /

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